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In many downstream applications, an incomplete depth scene is of limited value, requiring many special cases for subsequent utilization, and thus techniques are required to “fill the holes” that exist in terms of both missing depth and color scene information. An analogous problem exists within the scope of scene filling post object removal in the same context. Although considerable research has resulted in notable progress in the synthetic expansion or reconstruction of missing color scene information in both statistical (texture synthesis) and structural (image completion) forms, work on the plausible completion of missing scene depth is contrastingly limited. This survey aims to provide a state of the art overview within this growing field of depth synthesis work whilst noting related solutions in the space of traditional texture synthesis and color image completion for hole filling. To these ends, we concentrate on the plausible completion of both underlying depth structure and relief texture to provide both greater understanding and future development in the area.
https://dro.dur.ac.uk/24093/1/24093.pdf
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